Demand Exploration of Automated Mobility On-Demand Services Using an Innovative Simulation Tool

The prospect of automated mobility on-demand (AMoD) services in urban areas has highlighted critical challenges surrounding the sustainable development mobility. To address this gap, we created an improved simulation tool by combining SimMobility’s demand simulator with hybrid meso-micro supply model Aimsun Next. A realistic and city-scale examination AMoD using such advanced can limitations identified literature significantly promote understanding services. In paper, demonstrate use our focus on exploration Tel-Aviv metropolitan area. We employ activity-and agent-based framework, for both single shared rides, explore 6 service cost scenarios its impact elasticities, mode choice, travel patterns population groups. Our results indicate that there is no existing latent area extent shifts from active modes public transportation to neglectable. This due average costs, which high as compared all other modes, even largest fare reduction examined. Furthermore, it was found demand, a service, more elastic than when shared, elasticities drops increases. Unlike transportation, maximum number trips obtained between 10 20 kilometers, while young riders full-time students are responsible most trips.